jev-guard: Real-time risk triage gateway for exchange deposits and withdrawals — Jev handles triage only

by klauswg · AI Tool · ★ 3

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

amlcrypto-exchangedecision-gatefraud-detectionjavajevllm-guardrailsrisk-triagespring-boottypesafe-ai

Quick Facts

Stars3
Forks0
LanguageJava
CategoryAI Tool
LicenseMIT
Quality Score67/100
Last Updated2026-10-13
Created2026-09-22
Platformsjava
Est. Tokens~11k

About jev-guard

Real-time risk triage gateway for exchange deposits and withdrawals — Jev (TypeSafe System One) handles triage only; adjudication stays in deterministic code.

Compatible Skills

These tools work well together with jev-guard for enhanced workflows:

  • spring-ai-typesafe — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
  • doris — semantic(0.17)+complementary+same_lang+shared_platform (46%)

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Looking for a jev-guard alternative? If you're comparing jev-guard with other ai tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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